# This is a sample Python script.
import torch


# Press Shift+F10 to execute it or replace it with your code.
# Press Double Shift to search everywhere for classes, files, tool windows, actions, and settings.


def print_hi(name):
    # Use a breakpoint in the code line below to debug your script.
    print(f'Hi, {name}')  # Press Ctrl+F8 to toggle the breakpoint.


# Press the green button in the gutter to run the script.
if __name__ == '__main__':
    print_hi('PyCharm')

# See PyCharm help at https://www.jetbrains.com/help/pycharm/


#a, b = torch.tensor([1])
#print(a)
#print(b)

import base64

# 假设这是你的Base64编码的字符串
base64_string = "//OExAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA//OExAAfi0JINHjGvTkK1QhYEAi12cJ1RXc0CO9iT2zXAWCjXzroY2TGUUnkpHqxjfObjMaL1QjIFl0dDVi9iTMjGP98qxsa9ZF1jK2Xq3Tiz+7VH/zKJi/5YeXlHuRrNENR42VQyS2wcLHnnlx86dN0YsYDdo5untBPssSRWPAzs3qSPcOzSb1VraoXgcIzVrcjNeLpc2i0tHrM9pStr71CoC0czR9ZJ3OWY2n69VEGpt2p4LOiiWKLomg8b7xO//OExDQjM3I4wU8wAWkcj/Ly9ftLw/nw90/U2fLumQnepo13rX9vDZ6V9vtKD4z5ueqrazte7TVWe//uffO5DP3rNfr96jGvjveP4b5l/cjNxJGB57g/VEClmeVNKa8rtBsOyPvq93+n32v0kcT7RgcjjO0xBaiEoRjg+HEBxd8mSiXDV7mWFfEyYEEUxl2iQRnEmSheU29fKpXzx29Vj0FeiAZYWpVHqnHBdnWz+Vn2XcX6sMMgBoH+Xk8D4OAG//OExFo9vDqMy5h4ADq+P8ffaFMXN4wqw/zrMSHqAn1T/E16a/WnHLq8B7qMy4Q372zQM09P9X+d/MixXDg9YPBan6dblCrY87Mxx7OOX1/87v/f/f+6MV48F85eMvIZRylW1Y5syVrmR/qK5qRjupmxji63SkSmon9M799339X3NDTatP98wvXjpRnQ8c3Tc6foW1rtyWm5q97xNM7gkk5AQ6rm9jZUVo0VEGANc0kKtPInMOQxgS4RUB0m07zf//OExBYpA/ayFclAAMjlIPLaqRCCBHez2FFeBjuhrB2MDgIxwgC4Nz6ID8XOPEYRQ/Fw+BWFQwFYcPA4DwUD4AIGjg8GSLsWgoJWPZeQ7REp7t8Z+6EPUHrYtmGDxohCGLOCgIKswSl8GC+NaFfQUiJ0mX+KuP6//j/+P4rMuOVSx3fXaxf9f87fyrfx831Fdxc36cQkjliBBilxGhEBEb6b5TYLg3mnCQ9bZMMDjHQwOQZIUguJLJ0NfIJWnuJw//OExCUuApaxrHvSuU0VBbHBLMBvoW9VByQGerOd0KOyrpOvDmfq9UoUoSjYWFNQlf1phesBwfQ9mQxRZNREKQ0wgRkInWMk5EksMm2HpLpqEaJWbmmvbfqGf11ZVOE2UDEkTDVkZXNNlIqIyh5vFNiiKn75XqitnepUkHlyrv7/1/vAm3j5s60YgZ619fvv//50aYbEOF6Kphcaqal78p44AVqzWt4X3RMARP3PBSSVQuluy1GUDAgMgFIZjyeo//OExCAp6nq1ZNPSuOg7GsLONpkPldKtWQ0PzrFKvGo33c8GaRzhNbObCYJKcKuXBd1a+gKqM9pDhidtNhMl1dOGqIsTIaGlFFOjTnnvyntx8Mry3zgguHcxqjvkG4RYjdzpHBHaF4lu9g23yicbqUYNU8DOApQLso9Kp2SUWaEhpJ8IH2PGc6nF2WAmiAGA+CLHONKkEBDAATIpuxutnTQ2DuhhANyzh3GHwIqA92jcuFTFWGIWZGixABDS8xQB//OExCsxK/qyRNaQ3XfiDAbqx7/3/zq7XZZpqWU2auFAjI8spfaGZXymnlJy3VrnMcHykVvLeHd4PJjy12kqTrD8frX6l/5VH8d0oxnDgaKismJEg8II0c6cioRooxSjRUXBoH4gC5CQNAQNHjTB7FQEd9kyKFBINLPV0pxG0jptJ/n4v/5l+uJ/MW+0W5aV+ajnr/vn/mP36qj8ZBg1KOF9oUcUxE2AABIAx5Nzf7uTj1mxFJRzVFlSPo2hBYDn//OExBkoy+K2JNTK3C6TNsLkoB0YDLA28aogieRQSHMDCykzGpAiAYiHAzoILLgoMBpJOp0aRRHQMJ9mRKA4jLqUckhTQdZwmR2GrXSdEpGySl0M5iNQqDRzMZcRCQUrlESjAHAEczuIkcAQ6Z7IJEAzuVlQaFqx5UuLS0qdv3N9TnHHPas3/////RE5lMKsYayxUSNUpaqoAAOQzInrrF/dQuvM4JkB8hpZg6fPl9NA2kYhX+ssqmQ4JRGLopg2//OExCgfE9LCP084ACpGag8NjxFLHTjjnNQk/Vh4l+prf0OOjYbDZ5xxx3OO/R/9kOfzb87/zjjjnzm1N9TWU01tfzW//OOf6Hf////r6HHOOjU6aOmmmjpFwFeGoNdMcuohUFq7suRtI1qgIapHAZQKkEAZ6mCqItk7ZfWBHQIIxelf+yZJIRqPS8gHOFSXtmRQLQvqMEXyIcTeAXEbQaYK5UFzP1iQs+TgL0mVKnFarXzK2MRbFSrT+VqmOBsU//OExF4/FC5lnZh4AekVEYh+q5sXMU/4aWonHqMOjCiiOETSgZMTUjUV0jXHa3PEFjxAgUl081JAgTNTqR8rj8Y7NqU05agUXbxucLNlW7L2aArKKaE4xJvCf1Y8z/OdWzCmv9b+I+u8pAhZxnGqWzqHm+/e195nzv314nYl921Kvd50+8dPbsu3DNW32q9g7vuM+gzK6WjbT0rTX3jVGFhgYtJK2vZdxpdIqrJa7VYLbbbbbbbbLbbYYWpK18Pt//OExBQtFDryX5mQAlKd90rGNDJYmHHookaHD2UQDAmBZABxk2PsNWGJkNIdhFyZE1KCJAgNsBwBhQRU2NE6A9GxsbJDuMhyC4m9lc8p6aZgixirrToVKs5UWbTRAjRf/6ad8+gcMCkxXLSBMJEEIg9Te+ggzJqXemYopGZTK6SZfUmgmXNv71M9nTTvv/LR82SQdTVprczq/7f//27KetPZfv07KOMcWpS1rNWqlAYDcv+tk2o0VWVEHxgPNztD//OExBInO9L6X8iIAmAcIV0Zix4EIFi5InkEkCg5AQbaFZJbOp5EzU1ZKvJUiqK02qWZjJKV9jFFm9RgvUuaF4vjLGJ9jBCmmdTqXVUaH2OKepCXE3TetzI4jQXZaCB9BS9CqmqtFZmmbmFb1TA0W1NSSlpqTUgt01IHUz56yS1pHkq11UE/6/+v+1bPoLMzNze3SohS5VG0AgACewAaopJOz87Rf6yibSd7jlv84kRyOLa5VOh/APPBHx8wPoUj//OExCgn8+7GXMzK3oHpiwqnjM0RLAFRjyTopAgpTIqQ0coB5xBInVLWxm4s8iyjFC7KMyLGz/v/poo7PEBwGd/Qj+yIIDSl21JT2QUFjXUqi5lZrTnOUyohMpkI7SEFBpVpncUM7Cd1Odu+RX/p/2/+8zEEBMMGCguOaJuYWIZC5sXToa0CAAZKyAalDZaDPPLCGy8ge25vL8LtMgJBcZVjfqSDIAGGWAKERok9exDxjieNcyUiKTFxDJIoo1IG//OExDsmFArCXMUK3mktFFJKUxCcco6ijatNX86Zf1uk96Cg4Jh4PW1dl+6K6mPYp2YstRMxREVoQhFT1exputplSKNMqlv5Cl3UzO5n9P/////Og0WdyiMgHDgdESAQh7OLOosJXk58ahVwEgArcADNyOXa96YmIyKTiILQUv/2gUFOW4TNkde+mZi1gB8AdJ0iRXymRcZ0cK16mMCKmKCCBgXDU3W1lutRVdamVnVG1Opbni8fT/+5mo6dEjK6//OExFUmW+KyPNSK3JlZ1RKsVys6mEhEBjCximiLxZ1OU4wysh+4qUpEc5ynMmkpqo5Taqq9z0fuqJ6+1v///qrH20EjkMIDxIzCJGi4aJJ9SsQiACjhF96XB5ukiQ4s5DV9O1r/1XqSGZ++cV3WjMgnxr6YpXsVWzPWX1z8Q3F7LBtSy9G3jEsTETFcRHl9Q4+bx9vId7wnkW8eBXXvv6vf/OPqkLZVJaX+f/76kYFBz0zzzn8Np2xAQJEShzEb//OExG4my96uOMPG3ZMhlkSVzNGn8nHP/6zva7vWevERPrnCcwib/+hFl/CL6/78BAopubEf9x9Y/VWwyuhkYeA/nLPk2pXsZcxdtz2Li8Odne9kh16iihBv6N55Rp3kjjVS2msXuNVfKdc1/WN/Wa2tysb63fZ+zOrz/8/U5kX8YrPuDIj5mpE+FmxJkpxy7u6OEAlzxaGRsgdSZRk4FFsxKKYMjCVVHKZAjUEFuKShWQYLBQkkbEgIihRV5Zsb//OExIUlXDKqSHmG3DoZNWED+W+MCFuHIiMROh0KWzgiCKUKHiskeHIOHWOWmjhxmTZgSFiBFAw7BCvgDghb1WNAAJenUiE79cY0DzFmyCN0EJ5/N3F/8cOSeeQ/I/M8qnmumbvnfr75zpmclMPEtQkFmNBoFCi8QHPHoM8gih3Fv6KbnCCCApIGOqTsMgzF0DA+Hao9z8W7zFkrMQTEUzNEfy2T5LgiIktE92WMYIdpmZmZQ2jbkV5WLkGOQsGV//OExKIkhDqqSGDG3EMYgECW5/Oh1lgGEmZGogDAEmDmIEDpk4EA3Eo5T4SiAEmZ86hEEEDEOgUXep2XXo5RSXqjD2Xu+779yiHKR3WuW6ZgzNCDNrszc84zqJaa/xCJGlFvcWPqDIECB0OQIXeGEtB8eXAIfYwkn5FeYFD3FBCCrrUh2VBZ4ld/+qIQ1WdPZ7ZF2C7vqqoqqoIGtymzjy7ehocPAsa9r/X+bqxFHQ7g8DCXkcoZozFyjkgYzIBu//OExMMmcXrLHNaGlNEKcMkxVUXCmCYY4OcT44SKjmk+XgvWGCSXOVorUZm6CWzSbJykv02/WZoo/RI0qO6jxusXgsJGD1EdAgDZyoiHqUJGqe5EZUqw+s80+pFK0mnkK55dEOo9DXl7rmKrNX7ZnlD0Z2/6f9v////vMzzsgp2NlASIAc1J94fhuoQrDbHf7+MrgBohHRljq5QZvgBcQRoZy/zy5SS3bFCw8Gh+3IJqcgKCyUuAlb9SbKvQ95M1//OExNwnQ/a9lNUO3P995rm3hgnvN5//1d7////q19c1+ff1Fa2q+WNo0EYBAdjGq9UklecrPtPGxiqwmU6iKCeXmKyStqFJ9U8vsfDTWeJTZJsaGjHNi9ptzLkPRfJ/f/E/XOx31/83N9XfVf8/1/f/81P/M7mc3s0r+z9Mhp3ljHOmxAI1AVDLK/9qZxBnRPRFM8v/83LGGVa7GW9ZxsGmHR6b4NNvDdrJRYyEwM+29q3P267MQqYY4qv4pLZv//OExPIthAKx8s6W3Q3VdJdb/95zXataT4b/XP+taw5z//8rV7+a/W61qk1v79weA8AIKWWSPQmSBcezEQKh6AwMhG8uXJRwekw+YpIs7rUywtBlljeIYaY58w0Qsy73c1Z/P/3P8/rPFVXVHTKRF36d//Mf1z/HM//rN/x9Y+FJuaqUAEAMACuxnPHdJ+TRzhNi/56y+Jvqh8Bw57mX1odclgR1/B1mdbKbzmZtXoc3A03fnpbm+y5gUcpC9ay7//OExO8sY/a18s5Q3flVon7t//61ulsZ5axw73KrU5/f/8rWOX//6rS6XWMikEIG54KgeUu7RR5gxhU8WLkwWBcJA7UZVTbDUztemQp0mrR6KHm/7RtN8/EQ/Fdx7Wk3w0Xrf3EfVpE/1PH//Xx//19LvUSnP0vI6z07lp7FgQAQIATSKd/M+V6RmbgGxGJdyy3rdx7bNMY18jBPazjUDO6oaAEIfdhqloL01jPYLCqM5xqVTD8ZP+5IME0mrnK+//OExPAra/K2lM5Q3e/qrAFjL8ef+Uql+W+b//129/PbMNo3Xm7lrgyBHMw9KLPplk0qPolq7DU3ghh/NNQnLFY6QQVThZRqYJSxqCqe3boqJ2+VKPQfO+zn2suK+ammxEOmIc7r4654h7nvmZpkHmvlfF/v3/VuLyr36P+DZ1XoViY50AIItp14dm5VGqwyCrXGG458DcifmKd8HoZyjyI4cicHHh2ea1IpC3dUhlZ4LDEthuW/Q40iwJiRSCht//OExPUuM0KqjM6WvdKItFcCIR+jg0tq1PCz9nLdyacqBLNnLXcu7pN7/nN8ytWqm/mut2uilXGjwHBrhvRgqdSyrC7P5mnUM5fnTxzimPIdRfTNOR+3nC2v3JuP3Skkiaml7FlXNMKF85pBgzTutXjW1Wut/+v365xb2+MWtelNT4rjwI+8f0rXeIu8feM11iu8btbdd6g86reymxWpdfaTaMX99T9VwIC+2e1M0z6NbEIPhgRGHZHHKYdhwDbh//OExO81k26V6N7evait8IA2VO8YVF2aBBc/qg1A26jCQ1VI0ECDCm0esa8gft0uvgMpTJxEBrMl+s4gCxbiEKFB0ml+c5Py+PYaLhw5qxWqVK/LkesZY/v9b3T8yx53lFdjTosmb+Vw9BDdZK+jDhE9toQ1llEFOG3NTlZDDyIC/1LWpSRMZ7c55mS21QOlOvFlE31tVWatJiti/jTQNrrTHql9iWxazblMcf2t+Wf//db5//zePOWe7w/LPGp8//OExMtAg9584O6w3X56X3q9JZpN6u2r/3f7rP91rX//5b5vWXcf/dXWuZZc3rfMqbfd2Oarfq/+N+x3S586Ryd7cGSAAAK+Ufoj/ZVLhEG5UAAwjHU4vFxiLvYRteReiIroMDRfM5BBaw1uPSuXPkyNvwIAOOEae7G7s/iwxko6PO4XIhKdLUWWxqLQiXKNFnZNXr3ZXLdQ+tNh2V+9ygywpHIcn8O93n+M3U53X47uSx6EvoGgejnaR9lcVQDu//OExHw/JDp94u6e3ArB3jNVpJX6JJyXQcDXBbE7AUqoXCKLuJs5PmZFQ28/ZduW312x7qI4sjTFgzMsJ/NOxpiNPJrF7+3x7//+mbax8wsKyIrVru5mF9MrMqF9E3Xe94pXGt////4/1T+8bdMbt/mHl9WPFiRmC8SIrLvrQ58Qt/Otf69fvz6xukOeVbQACBLAIq4V6lWmdyniq+zPShas0GRXr9I/8sBJEz9EEhCgCl3PQS0OQKHmEYPO81FT//OExDIwnDquNtYQ3NSWZSR8ZELFXm0iOyugoKV23/ou/z+/qUUU9j/63auXr9F+feXKtPbwv3ufrmedy7hlr8Pr3xQIhof+ZQ0WoabdNMQOKFh6/BkVdwsTxf6Skw1RF/N///bvfz/3/X3H8NX1////Xwl9oiVzMPCV/3V1VY8sUGGiwiRRJInJEIJwbCY8YLGstWm7KJxUWFWEQcroBDqADVbr5/zHPG0Ph3+q/Yy23GYJEYKzNJilPertYclD//OExCIrbDax/NaK3BMhEL9T/53pfTI9mLQxh/sb1jLPDryNPf2HLGL6w4zNFuW8/PX/nNxbL9d/eVJO5fjj///bO98/9/lXs4shSIUJAKIjsTUTUeHRFnRSBwUHlOi1xzvkVg4NEDMjhxDuRzsyyEKhL2PcjU7EKIujtdzrd+92QzrzLMZe39Fqjoc6IRWRUbWtf/5XSwktswIwTJiB7ltJDHeV8KcUUqlKdb5X1HwsY1wVFZ9AySFqCEOCa0AZ//OExCcnPDq+vMUE3CjwfpGBGhs4OUBfY3NDZanOEkQU1tWggT5Ol1FC9AvmiT6FNEnmp0HO3RR+gipKjkAwgcBElQylOUxrKoAoIxaoRyBXRKMHMFigRlWclmZXQh2MlCK7SoyyFdjf7aVXRf////8kmhygg4IGrtfX70+qoZFZBI6XBVCAhX5kKF57p9Y1NzA5IvPLMd53fnBnETZrUljoGYtQIPgSERNSkUy4gFmCCGSPmJBkc1sowey0ajAm//OExD0ha77G/sTK3A3Wgq1N0dXQRR/sl2zMxlKx5xAoqhtzy0N0KhmrbNsiEKGiJRYzq8qG6Eo9LqepZn+nq/X2/////zu5DuyuSOFzqRCl31pgcN2WATACibYgKAUFJ3DVnT1gq9g1FlvtWgERR2FtepbfpuHQAY5oAUmDYRQRExcYxoRBAOBAYQOINMj+omiRE7G7rdBMmysa9apQIqaqVUggapfomz//1rQSfZXBBRLGqrlQztIQg5VerI3r//OExGomE7a6/s0E3JyCkBKMU44krFbOQ10yOXs1mdlpq0z2Rz1Kza/////YiiThlIUSMHQUB0U1/4YV6EAAAvnIHC/Cq2/u3GegNB4lewrX3Gqm+KTAxB2pbbNygBBUAUlIceHOLCzcMgAsTI4+dND8phuhcRuyK01j7IMbo7mRQJk1+Zn1qfzAvGymSV/0F/o5SsjO4fES0YlGGjnQ7jlMXszCZXdlYjlFTIk5nZujOpV95ed0l9P/1p////zn//OExIQmA9ayXM0K3CvEAoTiAWxBU4mzoHVDaDWmZjokxAAAAm3QBgERv1eZ4U4iIGyDw9F8O7poqTiH91FaXItCRgaE+DAhFz5FjQmyYBoSDBSamfFJifTzorWojxcR9dS2MB3oJKRoFweD9me6XUtal/rTfR1XXlRQEFh1hHdncox2CAGFqrRlvI1w8LXHo6Cv7mbrIQ1mIiHZf7f+lzv//9PtUlHYLEg8Fi6CRTCgeBxAYJK5ijki6nOhfg64//OExJ8n4+aqXtUK3bWIAAD7YgsEbrP/l9SuQUM7wfPncK44gn7KpyXT/qBDYAgERKhSKpUUHUEohwA4yHIKTHWFrJOm6zymPB6BEzqJeOojrC6Q0nSMDIwYPnJYyOp1se+iov9dajFbpdkH+UHAooazFL1ZgiAguZjs5TpVEqIiwlVTlY5drvRnSpCL1Rf///RW////9ZFuQcKXFTCq3GVEo83/rI3/pd0YgAAFm3gXCreoL85csCHoevlrNq+F//OExLInO8KqPMyK32sCFgobi8vlNqMkPAIiGLTcghMk6NItCIDJivjoH5MplwqidTcoFw0KNIgqkUkCxI0eUS25ui5wsLdCuYm7NZa1t3VYvKdLoL1l2M6sGHQ0sjmUKcI5HdEIcq11KhRlKPI+iuptWKV29Er///8rL/v/0yPlBludg9DAxJTlUwkmEROcK5+LiPHb3ZBpxAYI5nDNWdznArQC1mosGmf7eXkZoG870lsRiwlQba2vKerKwD6Q//OExMgnq8qdvMzE3braDlwkRTP66pXTFeFmmNaxHpWtM4pndaPKwbavX+H4/3923nVq/6//1QdYJDIDaZ0ZSmUBKVmbTeY15gJiuQGWVmqM8qGq6tlzeb//rmdP/tR+yKdlw40ZQqmBijATmDFAUjpYO2gVQ9WGiSoZCQq9JIzELazDR2PdxirOojIM3iccxDxIVojS2OS48hXAJ4MpPhDgFpXlyUbihS7ajShsF9M3jT1xu+61rjFt1liWxP8b//OExNwlS8KQ3MvE3tXlizW+IW8f7//+vvG911i3x++fKiwjigqHImBsdD0LcrdcN3DWJihZhrlHVchCOLuLjra7iUuTVW/pe////r//uuW+P//+FjWa8Wi5hi0HoSHQCMAaHAnHmiELqAqFHKU0VWGZmtV12mFpng6yuB8IQJUGuhRPhHidihPKa7aN0uMesMFMm0aDaFiDODFQhEHcAbwaqEhDvBloNHFRIKRYqE2T5IkwM0kXjrmJsaF5+amR//OExPktfDpgEsvQ3ORMXWihSZKp0UXMjBT2TMVOpSrWVVWmr/0FgbB9cqV1MlddrCdC0jiVc2M2SCRVBYQRUZfna6RrNczNet/EV31E0M1ju6W/+6/maXt9qiJGfs01DrDEwLIShJTDAVBEOBqOxhxyIO07HZ16bueKyDUIAlBU00bghdSllLswSu15IbnKaH52YruLWmpdPU1kOHEb4uKjLCW5nOlpgQqK2kKDCeKzVds0u54tIUaLa7Dpqa3L//OExPYss8JIMHxQ3Q3Rd41Sb5trOaazFkms20zHxtvpAn29rroghQlDcWxhJDww+zOxhU+QxBCQSq2Irbukq0VVQ8xAcosdgcMc9cnOPEa2pTQwENdMKTBgsE3stCMjeRhOQY4GFKymcewHcEZwKwumGnGpDk4zwG4FhAIWJeydTEFNRTMuOTkuNRGyEyCHAL4ldJDWcfijl1KneYW8Ms9YErMeLKxyaBhunSOYmauFxqGoRDpbG0G42Ge3U/Uz//OExPYttCo06MvG3TNhcOmalZ2z19ba6i7+x3vUIy2vK50Rh97Z0RmqZAoyX/m2e2jCyZMIQl1RE3j17akNen7Y2xubmRypzzW2zH9u3bMnKeK87t3OQ8n/I3vHy9ovKZ93Jm+7f0fuJlZEvrazs6/+3hG0GsHHgTiSJLxnzUIcgGf5LpNWv256fgmcjd9F5rCUC6YQmQOP0pYQEREZXXIS8+eeTCiBITAkHlFlRVrOSQoiPHXSzbmi0ZlcaRtQ//OExOgnBDI4wMGM3GNqBHKU0COM2yaYE5R7kjTzZ9yl01RqsIlgyyee/uagYXVQCLMAl6sTBUhB1oGNCdkkDMPMRMpZS1Jy8m+KQev5L+HlGKkiX1/cmnsuUZEPbxFXrNfqNkhzzi8PKKrLPMHrjD9WBXZph8xCBV7BsRULYpKqWmARNmcl9YZf2Iu/bi0LlN2miEORv4e5dRKkhEyhRoZoGJ7GSEpFHlyaTtpK3kiopYtZa2Ounk542/p1BrVP//OExP8vzDIsKNpM3dviSXTKViPvlJVBKU148H8IQTROsNZ6sblNUlJnSmlKxCHe2m+LLSMR+5lTR5jXKVG6LxszZ10MwlD+TMd1avlX96e9su0Eyip+m7LmJFI6XBs7O2jV65NPaqzIRXWVRmEqhg/nWgirTDyc56um9YSyqhEM2LDAu67s7NQ9BL/P8/z/S6ZpHai28a19aYWOKFjnQOjiVaUFnoo75UYcSbFh0H0qKq15Vqlr6s0FCxwggKiK//OExPIsJDIwAMJM3VC15Qs4cg1bmoZpI0SScwBLki5SRpGexxFGe6LGkUgUA5vNRygYKS5wCCkmrfzUTkvOHJbOVnc0FI5/9ecOsiRp8pLf5eZ7kc/7f12fCKJyTz/Nf0SJEkjUv+aRwlsyaRR8o+qolrtT84KNCUc/eTUZFboU6qmpKLa4WSIihIELEExg0kCigMQLIJpETjSixBMYEgIFFAYEeQTHERQkCFiAcIGkjTiyj4vc////////qadn//OExPQs5CoUAMIM3YvETjSiyj4T2adni4ypZ2eNSNONKLMtSJI0UBlHkE0iJxpRZhNBFI04so+E0pOLKLMtBE404so+E0pOLKLi4ypZ2eN2adna8mpZ2eNqadna8mpZ2uFpETjSizLQRJGnFlHkE0iJxpRZliAmmmpMQU1FMy45OS41qqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqq//OExPMrE+zcLDGM3aqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqpMQU1FMy45OS41qqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqq//OExEwAAANIAAAAAKqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqpMQU1FMy45OS41qqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqq//OExEwAAANIAAAAAKqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqpMQU1FMy45OS41qqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqq//OExEwAAANIAAAAAKqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqpMQU1FMy45OS41qqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqq//OExEwAAANIAAAAAKqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqpMQU1FMy45OS41qqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqq//OExEwAAANIAAAAAKqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqpMQU1FMy45OS41qqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqq//OExEwAAANIAAAAAKqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqpMQU1FMy45OS41qqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqq//OExEwAAANIAAAAAKqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqq"

# 解码Base64字符串
decoded_data = base64.b64decode(base64_string)

# 指定要创建的文件名
file_name = './MNIST/yuin.mp3'

# 将解码后的数据写入文件
with open(file_name, 'wb') as file:
    file.write(decoded_data)